Multivariable association discovery in population-scale meta-omics studies
Multivariable association discovery in population-scale meta-omics studies
About this item
Full title
Author / Creator
Mallick, Himel , Rahnavard, Ali , McIver, Lauren J. , Ma, Siyuan , Zhang, Yancong , Nguyen, Long H. , Tickle, Timothy L. , Weingart, George , Ren, Boyu , Schwager, Emma H. , Chatterjee, Suvo , Thompson, Kelsey N. , Wilkinson, Jeremy E. , Subramanian, Ayshwarya , Lu, Yiren , Waldron, Levi , Paulson, Joseph N. , Franzosa, Eric A. , Bravo, Hector Corrada and Huttenhower, Curtis
Publisher
United States: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
United States: Public Library of Science
Subjects
More information
Scope and Contents
Contents
It is challenging to associate features such as human health outcomes, diet, environmental conditions, or other metadata to microbial community measurements, due in part to their quantitative properties. Microbiome multi-omics are typically noisy, sparse (zero-inflated), high-dimensional, extremely non-normal, and often in the form of count or comp...
Alternative Titles
Full title
Multivariable association discovery in population-scale meta-omics studies
Authors, Artists and Contributors
Author / Creator
Rahnavard, Ali
McIver, Lauren J.
Ma, Siyuan
Zhang, Yancong
Nguyen, Long H.
Tickle, Timothy L.
Weingart, George
Ren, Boyu
Schwager, Emma H.
Chatterjee, Suvo
Thompson, Kelsey N.
Wilkinson, Jeremy E.
Subramanian, Ayshwarya
Lu, Yiren
Waldron, Levi
Paulson, Joseph N.
Franzosa, Eric A.
Bravo, Hector Corrada
Huttenhower, Curtis
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_d5bfd901e9b34b5b917ec5de230898ee
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d5bfd901e9b34b5b917ec5de230898ee
Other Identifiers
ISSN
1553-7358,1553-734X
E-ISSN
1553-7358
DOI
10.1371/journal.pcbi.1009442
